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20092025
most citedA statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit

35 citations · 360 across the 36 of their papers we have counts for

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Showing physics.soc-phShow all

5 papers · 1 filter

physics.soc-ph2019

Efficiency and shrinking in evolving networks

Arianna Bottinelli, Marco Gherardi, Marc Barthelemy

Characterizing the spatio-temporal evolution of networks is a central topic in many disciplines. While network expansion has been studied thoroughly, less is known about how empiri…

physics.soc-ph2018★ 5 cited

A network model of conviction-driven social segregation

Gianluca Teza, Samir Suweis, Marco Gherardi +2

In order to measure, predict, and prevent social segregation, it is necessary to understand the factors that cause it. While in most available descriptions space plays an essential…

physics.soc-ph2018★ 34 cited

Zipf and Heaps laws from dependency structures in component systems

Andrea Mazzolini, Jacopo Grilli, Eleonora De Lazzari +3

Complex natural and technological systems can be considered, on a coarse-grained level, as assemblies of elementary components: for example, genomes as sets of genes, or texts as s…

physics.soc-ph2016★ 10 cited

Balancing building and maintenance costs in growing transport networks

Arianna Bottinelli, Remi Louf, Marco Gherardi

The costs associated to the length of links impose unavoidable constraints to the growth of natural and artificial transport networks. When future network developments can not be p…

physics.soc-ph2013

Hard and soft bounds in the evolution of Ubuntu packages. A lesson for species body masses?

Marco Gherardi, Salvatore Mandrà, Bruno Bassetti +1

Open-source software is a complex system; its development depends on the self-coordinated action of a large number of agents. This study follows the size of the building blocks, ca…